Computational Thinking: A Perspective on Computer Science
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Beschreibung
This textbook is intended as a textbook for one-semester, introductory computer science courses aimed at undergraduate students from all disciplines. Self-contained and with no prerequisites, it focuses on elementary knowledge and thinking models. The content has been tested in university classrooms for over six years, and has been used in summer schools to train university and high-school teachers on teaching introductory computer science courses using computational thinking.
This book introduces computer science from a computational thinking perspective. In computer science the way of thinking is characterized by three external and eight internal features, including automatic execution, bit-accuracy and abstraction. The book is divided into chapters on logic thinking, algorithmic thinking, systems thinking, and network thinking. It also covers societal impact and responsible computing material – from ICT industry to digital economy, from the wonder of exponentiation to wonder of cyberspace, and from code of conduct to best practices for independent work.
The book’s structure encourages active, hands-on learning using the pedagogic tool Bloom's taxonomy to create computational solutions to over 200 problems of varying difficulty. Students solve problems using a combination of thought experiment, programming, and written methods. Only 300 lines of code in total are required to solve most programming problems in this book.
This textbook is intended as a textbook for one-semester, introductory computer science courses aimed at undergraduate students from all disciplines. Self-contained and with no prerequisites, it focuses on elementary knowledge and thinking models. The content has been tested in university classrooms for over six years, and has been used in summer schools to train university and high-school teachers on teaching introductory computer science courses using computational thinking.
This book introduces computer science from a computational thinking perspective. In computer science the way of thinking is characterized by three external and eight internal features, including automatic execution, bit-accuracy and abstraction. The book is divided into chapters on logic thinking, algorithmic thinking, systems thinking, and network thinking. It also covers societal impact and responsible computing material – from ICT industry to digital economy, from the wonder of exponentiation to wonder of cyberspace, and from code of conduct to best practices for independent work.
The book’s structure encourages active, hands-on learning using the pedagogic tool Bloom's taxonomy to create computational solutions to over 200 problems of varying difficulty. Students solve problems using a combination of thought experiment, programming, and written methods. Only 300 lines of code in total are required to solve most programming problems in this book.
Serves as a self-contained textbook for introductory computer science courses for undergraduate students from all disciplines Helps readers to master computational thinking from the aspects of logic thinking, algorithmic thinking, systems thinking, and network thinking Includes over 200 examples, exercises and projects to encourage hands-on learning, while the companion website includes lecture slides, code and multimedia files, and solutions to homework problems
Autor*in
Zhiwei Xu
Themen in »Computational Thinking: A Perspective on Computer Science«
computational thinking computer science first course in computer science logic thinking algorithmic thinking systems thinking network thinking
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“The book companion website includes the course’s lecture and project slides as well as Go source code. … Xu and Zhang validate the view that it is indeed more concerned with … CS instruction itself and provides an effective framework for teaching the subject from introductory to advanced courses. Thus they agree with other notable CT researchers and practitioners, such as Denning and Tedre [1], and their textbook is a most valuable contribution to CS education.” (Harry J. Foxwell, Computing Reviews, October 12, 2022)
“The book has a companion website from which readers can pull down over 200 MB of zip files with lecture notes, lab notes … and project notes. This is a puzzling book in some respects. On the one hand itcovers basic concepts and terminology for the beginning student, yet on the other hand plunges into sophisticated topics without drawing a breadth. Likewise, it claims that programing experience is not a prerequisite … .” (Anthony J. Duben, Computing Reviews, August 30, 2022)
“The most preeminent characteristic of this book is its ‘thinking’-perspective, which the reader may or may not like, and which perhaps leads to a suboptimal arrangements of topics. … the material presented is impressive, and at least the fundamentals are covered in great detail.” (Dieter Riebesehl, zbMATH 1490.68001, 2022)
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